Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence
Introduction and Aim: High-quality artificial intelligence (AI) models in endodontics require access to diverse, well-annotated datasets. This review introduces federated learning (FL) as a privacy-preserving framework for collaborative AI in endodontics. Methods: In this narrative review, a compreh...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2026-08-01
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| Reeks: | International Dental Journal |
| Onderwerpen: | |
| Online toegang: | http://www.sciencedirect.com/science/article/pii/S0020653926002972 |
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